Disentangling Influence: Using disentangled representations to audit model predictions
Document Type
Conference Proceeding
Role
Contributor
Publication
Advances in Neural Information Processing Systems
Volume
32
Publication Date
2019
Repository Citation
Marx, C.T., et al. (2019). "Disentangling Influence: Using disentangled representations to audit model predictions." Advances in Neural Information Processing Systems, 32.
COinS